Elastic Control Strategy for Connected Vehicle Platoon Based on False Data Injection

doi:10.3901/JME.2025.12.266

Abstract

Abstract: The platooning of intelligent connected vehicles(ICVs) plays a significant role in reducing vehicle energy consumption, enhancing transportation efficiency, and improving safety. However, false data injection(FDI) attacks from hackers, malware, or signal spoofing severely impact the safe operation of vehicle platoons, posing a serious challenge in this field. This study proposes a resilient control strategy for ICV platoons against false data injection attacks, combining rolling optimization and attack detection to effectively mitigate the impact of such attacks on the platoon. The algorithm leverages the cascading characteristics among multiple agents within the platoon, quickly identifying the attacked vehicle by obtaining the expected platoon state variables of different vehicles in the same spatial-temporal environment. Subsequently, a switching control strategy is employed to compensate for the attacked vehicle. The platoon dynamics and communication state models were constructed on the simulation platform VENTOS. Various scenario tests validated the proposed method’s performance in detecting different types of false data injection attacks, Compensation experiments demonstrated that affected vehicles could return to a stable state. The proposed scheme provides an effective solution for secure control of ICV platoons under false data injection attacks.

Key words: intelligent transportation, connected vehicle platoon, false data, elastic control, network attacks

CLC Number:

TP309
TP391

GAO Kai, LIU Linhong, HU Lin, Fan Shaosheng, CHENG Xiangyu, ZOU Tiefang. Elastic Control Strategy for Connected Vehicle Platoon Based on False Data Injection[J]. Journal of Mechanical Engineering, 2025, 61(12): 266-280.

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